Estimation of variance components in two nonorthogonal mixed models
โ Scribed by Niedokos, E.
- Publisher
- Wiley (John Wiley & Sons)
- Year
- 1969
- Weight
- 292 KB
- Volume
- 11
- Category
- Article
- ISSN
- 0006-3452
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
## Abstract Microarrays provide a valuable tool for the quantification of gene expression. Usually, however, there is a limited number of replicates leading to unsatisfying variance estimates in a geneโwise mixed model analysis. As thousands of genes are available, it is desirable to combine inform
## Abstract The analysisโofโvariance tests for hypotheses on random effects in regular linear models are considered. Conditions are given for these tests to be uniformly most powerful unbiased or uniformly most powerful invariant unbiased. An example shows that the difference between these conditio
## Abstract The problem of binary component aggregation with kernels that are independent of composition is considered. The bivariate distribution as the product of two distributions is studied, one that refers to the size of the aggregates, and one that describes the distribution of the component
## Abstract Nonlinear mixed effects models are now widely used in biometrical studies, especially in pharmacokinetic research or for the analysis of growth traits for agricultural and laboratory species. Most of these studies, however, are often based on ML estimation procedures, which are known to